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The video tutorial focuses on predictive maintenance, specifically estimating the Remaining Useful Life (RUL) of machines. RUL is defined as the time from the current health of a machine until failure, measurable in days, miles, cycles, or other quantities. The tutorial presents three common methods for estimating RUL: similarity, survival, and degradation models. The choice of model depends on the available data—whether it tracks degradation from a healthy state to failure, starts from the point of failure, or falls somewhere in between with known safety thresholds. The tutorial then uses an aircraft engine example to illustrate how these estimation models function.